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researcher

Yuri Tolkach

3 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.LG1
  • q-bio.TO1
ORCID 0000-0001-5239-2841

identity via Semantic Scholar / OpenAlex

most citedJointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2023

From Pointwise to Powerhouse: Initialising Neural Networks with Generative Models

Christian Harder, Moritz Fuchs, Yuri Tolkach +1

Traditional initialisation methods, e.g. He and Xavier, have been effective in avoiding the problem of vanishing or exploding gradients in neural networks. However, they only use s…

cs.LG2023★ 2 cited

Jointly Exploring Client Drift and Catastrophic Forgetting in Dynamic Learning

Niklas Babendererde, Moritz Fuchs, Camila Gonzalez +2

Federated and Continual Learning have emerged as potential paradigms for the robust and privacy-aware use of Deep Learning in dynamic environments. However, Client Drift and Catast…

q-bio.TO2023

Critical Evaluation of Artificial Intelligence as Digital Twin of Pathologist for Prostate Cancer Pathology

Okyaz Eminaga, Mahmoud Abbas, Christian Kunder +10

Prostate cancer pathology plays a crucial role in clinical management but is time-consuming. Artificial intelligence (AI) shows promise in detecting prostate cancer and grading pat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.